Coinbase

Product Manager

• Own the product vision, strategy, and roadmap for DevX end-to-end: CI/CD, release automation, testing infrastructure, source control, compliance tooling, developer productivity, and AI-assisted development.
• Identify where AI agents, automation, and LLMs can meaningfully change how Coinbase engineers work, including test generation, code review, bug detection, and refactoring.
• Find the highest-leverage opportunities to improve engineering velocity, reliability, and developer experience.
• Keep infrastructure fundamentals reliable and performant. Our AI ambitions depend on it.
• Define success metrics (build times, deployment frequency, CI reliability, developer satisfaction) and drive toward measurable outcomes.
• Make tradeoff decisions that balance developer experience, reliability, security, and cost.
• Build deep understanding of your users (Coinbase engineers) through research, data, and direct feedback.
• Ensure tooling meets security and compliance requirements in a regulated environment.
• Partner with engineering to turn strategy into executable plans and stay close enough to execution to unblock progress.
• Lead evaluation of AI tools, technologies, and vendors with clear build vs. buy recommendations.
• Drive adoption of what you ship, not just launches.
• Communicate roadmap, progress, and tradeoffs to senior leadership including VPs and C-level executives across Infrastructure, Platform, and Engineering.

Senior Product Manager, Infrastructure DevX

Data Scientist

• Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making.
• Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations.
• Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
• Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders.

Senior Data Scientist – Growth

Engineering Manager

• Own the technical roadmap for Simple Trading's engineering team, driving execution on cross-asset trading systems, unified account infrastructure, and settlement architecture that will power Coinbase's expansion into equities.
• Lead and grow a high-performing team of 16+ engineers (IC3–IC6), coaching them to deliver impact while supporting their career development and creating a culture of technical excellence.
• Partner with Product, Design, and senior leadership to translate product vision into technical execution, ensuring alignment between business goals and engineering priorities.
• Drive delivery of distributed systems at scale, collaborating across Product and Engineering to build and operate multi-tenanted platforms that support millions of users trading across asset classes.
• Shape engineering processes and practices that enable fast, high-quality execution in a rapidly evolving product area, including technical design reviews, code quality standards, and operational excellence.
• Build the team by partnering closely with Talent to identify, attract, and hire exceptional engineering talent who will help scale this new business line.

Engineering Manager – Simple Trade

Senior Data Scientist – Retail Onchain, Borrow/Lend/Earn

• Own the Growth Engine: Lead the strategy and execution for acquisition and retention loops, including referral/affiliate programs, win-back flows, and gamification mechanics (e.g., mystery boxes and trading competitions).
• Optimize Core Trading: Own end-to-end development for trading experiences. You’ll ensure that once a user is "grown" into the app, they encounter the most intuitive and efficient spot and derivative trading flows in the onchain ecosystem.
• Master the Engagement Loop: Co-own high-intent systems like Watchlists and Price Alerts with the Trading team, using them as hooks to drive users back into the app via a sophisticated, ML-driven push notification and CRM strategy.
• Experiment at Scale: Drive a rigorous data-driven culture by running A/B tests on onboarding funnels, abandonment flows, and notification delivery to continuously improve conversion and execution quality.
• Build Growth Infrastructure: Oversee the "Growth Platform," including the ML/policy layer for intelligent notifications, attribution tracking for paid marketing, and the Activity Tab UX.
• Cross-Functional Leadership: Collaborate with Engineering, Design, and Data Science to balance "0-to-1" trading primitives with "1-to-N" growth optimizations. Partner with Legal, Growth, and Finance to ensure all growth incentives and trading features meet global compliance and liquidity standards.

Senior Product Manager, Growth & Trading

Data Engineer

• Design, build, and operate foundational data-heavy services: storage, orchestration, batch processing, streaming services, query federation and caching, time-series db, graph db, and real-time event aggregation stores
• Build and maintain data integration & process SDKs for internal services and product teams
• Design and build self-service applications for managing and troubleshooting data pipelines
• Design and build services for end-to-end data security and observability
• Convert functional requests from data analysts, ML, and security & compliance into reusable patterns

Senior Software Engineer – Data Platform

Full-stack Engineer

• Build, improve, and operate backend developer productivity infrastructure services and systems.
• Design scalable, fault-tolerant solutions to novel problems with modern cloud technology and industry best practices.
• Work with engineers and leadership to turn our product and technical vision into a tangible roadmap every quarter.
• Provide stellar customer support to our internal engineers

Senior Software Engineer, DevX CI

• Build, improve, and operate backend developer productivity infrastructure services and systems.
• Design scalable, fault-tolerant solutions with modern cloud technology.
• Collaborate with engineers to create a tangible roadmap every quarter.
• Provide stellar support to internal engineers.

Manager

• lead a team of threat intelligence engineers
• develop organizational strategies for Threat Intelligence teams
• engage with leaders in Security Operations to identify intelligence requirements
• define strategies for intelligence collection and processing
• drive stakeholder engagement through threat briefings
• establish workflows for prioritizing intelligence
• participate in community engagements to benchmark capabilities
• leverage AI in intelligence workflows
• define services and measurements for operations
• lead engagements with external intelligence sharing communities
• revise procedures for risk governance in Threat Intelligence Operations

Senior Manager, Adversary Management

Engineer

• Support execution of the long term strategy for the Data prevention program
• Implement and deploy Data Protection tools
• Collaborate across Security and Privacy Teams

Data Protection Engineer

Operations

• Lead the SpecOps OpEx & AI enablement: Own the embedded operational excellence initiatives for SpecOps, with a focus on AI‑enabled tools, workflows, and mechanisms that improve quality, efficiency, and customer trust across Concierge, EES, ResoOps, and Premium Inbound.
• Turn pain points into AI solutions: Build an intake and prioritization model that translates negative sentiment and escalation patterns into a ranked backlog of AI / automation / tooling and product opportunities, sequencing work to maximize customer and business impact.
• Design and scale a unified signal fabric: Standardize a single, real‑time customer‑ and contact‑impact signal fabric across proactive and reactive experiences, quality, fraud/risk, and operational health—reducing detection‑to‑action from hours to minutes.
• Operationalize AI‑powered workflows for specialists: Stand up and continuously refine agent‑facing AI solutions (e.g., research helpers, summarizers, decisioning and routing engines, opportunity modeling, incident analysis chains) that reduce handle time, improve accuracy, and eliminate low‑value work.
• Establish specialized operating models and routing: Define and scale resolution operating models that route enriched, prioritized tasks to the right teams, favor back‑office and systemic fixes first, and only trigger authenticated, high‑trust outreach when needed to reduce friction and recontact.
• Define the KPI stack and instrumentation: Own the KPI framework, dashboards, and operating reviews for SpecOps OpEx and AI programs (e.g., LTV loss avoided, DSAT/CSAT, recontact rate, AHT, time‑to‑resolution, fraud/abuse reduction, agent time saved, adoption and MAU of AI tools).
• Codify governance and change management: Define guardrails, documentation standards, and enablement for AI solutions (playbooks, SOPs, micro‑trainings) so that changes are safe, compliant, well‑understood by frontline teams, and adopted at scale.

Operational Excellence Manager

• Own strategy and quarterly/annual planning for Physical Security
• Translate initiatives into measurable business outcomes
• Build scalable operating systems for executive visibility
• Evaluate risk and return across the Physical Security portfolio
• Drive execution of complex, multi-region initiatives
• Identify and implement AI and automation opportunities

Senior Manager, Strategic Operations

• Build and manage engineering teams, to guide the development of features, services, and infrastructure.
• Coach your direct reports to have a positive impact on the organization and support their career growth.
• Implement the multi-year strategy for our team and collaborate with engineers, designers, product managers and senior leadership to turn our vision into a tangible roadmap every quarter.
• Be a thoughtful technical voice within the team, aiding in diligent architectural decisions and fostering a culture of high-quality code and engineering processes.
• Collaborate with Product and Engineering teams to ensure successful delivery and operation of multi-tenanted, distributed systems at scale.
• Work closely with our talent organization to identify and recruit exceptional engineers who align with Coinbase's culture and will help the team scale.
• Contribute to and take ownership of processes that drive engineering quality and meet our engineering SLAs.

Engineering Manager – Payments Platform

• Define and Drive Technical Strategy: Own the technical strategy and architecture for Data Platform, setting direction across data ingestion, transformation, warehousing, streaming, and serving systems.
• Develop and execute a multi-quarter roadmap that transitions the team from operational cost-saving toward engineering-led cost reduction — rethinking how cost scales with infrastructure, not just how to trim it.
• Architect for the AI-Native Future: Redesign data infrastructure from the ground up to natively support AI and ML workloads — ensuring that data pipelines, data lake infrastructure, and compute systems can power fraud and other AI models, and modern multi-agent AI architectures.
• Drive the evolution to near-real-time data availability: Enable downstream teams to act on fresher data across the company.
• Spearhead Builder Mindset: push the team to build data infrastructure that creates compounding leverage.
• Drive Cross-Functional Alignment: build alignment and secure commitment from senior leadership and cross-functional partners — product, infrastructure, data engineering, analytics, ML, privacy, security and compliance — on technical priorities and tradeoffs.
• Serve as the primary technical voice for Data Platform in org-wide forums including OKR planning, architecture reviews, and long-term infrastructure strategy.

Senior Staff Software Engineer, Data Platform

Program Manager

• Build and maintain contracting workflows within Ironclad, with a focus on accelerating the Institutional Sales contract pipeline.
• Lead project management of large, cross-functional contracts-focused initiatives, ensuring delivery on time and within scope.
• Support integration planning and execution between CLM systems (e.g., Ironclad, Evisort) and other core business systems (e.g., Salesforce), specifically to streamline the institutional contracting process.
• Develop and manage a comprehensive contracts reporting framework, including data extraction, metadata integrity, and building data models to maintain the system of record for all agreements.
• Partner with Institutional Sales to surface contract insights and analytics from their client agreements.

Senior Product Manager, Infrastructure DevX

Senior Data Scientist – Growth

Engineering Manager – Simple Trade

Senior Data Scientist – Retail Onchain, Borrow/Lend/Earn

Senior Product Manager, Growth & Trading

Senior Software Engineer – Data Platform

Senior Software Engineer, DevX CI

Senior Software Engineer, DevX CI

Senior Manager, Adversary Management

Data Protection Engineer

Operational Excellence Manager

Senior Manager, Strategic Operations

Engineering Manager – Payments Platform

Senior Staff Software Engineer, Data Platform

Program Manager, Contracts & Analytics